Data aspects in a relational database

  • Authors:
  • Curtis Dyreson;Omar U. Florez

  • Affiliations:
  • Utah State University, Logan, UT, USA;Utah State University, Logan, UT, USA

  • Venue:
  • CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
  • Year:
  • 2010

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Abstract

Data has cross-cutting concerns such as versioning, privacy, and reliability. In this paper we sketch support such concerns by adapting the aspect-oriented programming (AOP) paradigm to data. Our goal, shared by AOP, is to re-engineer applications to support cross-cutting concerns without directly modifying the application's data or queries. We propose modeling a cross-cutting data concern as a data aspect. A data aspect weaves metadata around an application's data and queries, imbuing them with additional semantics for constraint and query processing.